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Avis et commentaires pour d'étudiants pour Mathematical Thinking in Computer Science par Université de Californie à San Diego

4.4
étoiles
738 évaluations
154 avis

À propos du cours

Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements? In the course, we use a try-this-before-we-explain-everything approach: you will be solving many interactive (and mobile friendly) puzzles that were carefully designed to allow you to invent many of the important ideas and concepts yourself. Prerequisites: 1. We assume only basic math (e.g., we expect you to know what is a square or how to add fractions), common sense and curiosity. 2. Basic programming knowledge is necessary as some quizzes require programming in Python....

Meilleurs avis

AD

Mar 26, 2019

The teachers are informative and good. They explain the topic in a way that we can easily understand. The slides provide all the information that is needed. The external tools are fun and informative.

CW

Feb 02, 2020

I loved this course! So many interesting things to think about, thoughtfully explained by brilliant instructors. The puzzles really get you thinking. Such genius to put them before the lectures!

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126 - 150 sur 150 Avis pour Mathematical Thinking in Computer Science

par Yufan Z

Jul 19, 2018

Some explanations might be a little confused for me. But this is a good course!

par Aren T

Nov 20, 2019

An excellent warm-up course to the world of discrete mathematics.

par arsalan k

Dec 27, 2018

The audio feels "too mechanical" sometimes

par Alberto B

Oct 23, 2019

Good concepts to know and nice examples

par Amer A

Sep 15, 2019

very useful and impressive

par Edson E L Z

Jul 06, 2018

muy practico!

par YimingJia

Jul 12, 2019

Too simple

par Gourav C

Feb 02, 2019

very good

par Nguyen K T

Jun 27, 2019

good

par Sebastian M

Mar 29, 2020

I definitely learned a thing or two about types of proofs, but this class could have been constructed much better. The biggest flaw was that even after going through the entire course, the professors only rarely connected the material to computer science, despite the course being called "Mathematical Thinking in Computer Science". I appreciate their approach of "solve puzzle" -> "learn about relevant proof to be able more efficiently solve similar puzzles" but the course would be better if they tied each concept into computer science / algorithms etc at the end of each section. Beyond that, there are some general course construction issues. The professors often make mistakes in the videos, but rather than actually fix the videos, they just put a comment screen over the video pointing out the error. Speaking of the comment screens, they often ask questions relevant to the lecture, but they cover the whole screen and you can't actually see the content they are asking about, so you have to skip the question, go back, and then let the comment screen appear again before you can reasonably attempt to answer the question; this is an annoying process. To improve this, the content needed to answer each question should be shown within the comment screen itself.

par Steven W

Dec 03, 2017

This course is pretty great. You get to play with puzzles thats always fun. I think the course could use some refinement. The material feels a little unfocused. What I'd like is for the course to be focused on induction fundamentally. As a learner I want to be introduced to the concept of induction, build skills in applying induction and, develop intuition in reasoning about induction. The course ends up being a sampler for the rest of the courses in the series and, I think it's worse off because that.

par Dimitry K

Feb 19, 2020

Material is good, but some of the explanations were very clunky and hard to comprehend. Really missed some smoother connections from topic to topic. The quality of explanations are very uneven between the lecturers. Some were excellent, while others - not so much.

Still, I enjoyed the course, and it was a good introduction to mathematical thinking, as the creators intended, I hope.

par Mohamed A J

Dec 08, 2018

It's a very stimulating course, though not caring for students much. The material sometimes should elaborate more on concepts, say in week 6, it should've been clearer to student what are permutations in a clearer sense.

par Sumit A G

Jun 05, 2018

The lectures were really good, however explanation of more exercises would be a bit helpful as the videos are fairly short, I had problem understanding some of them due to limited number of examples.

par yasuhiko k

Mar 26, 2020

The material was interesting however the instructor Alexander Chen was incomprehensible. He was unable to verbalize a thought or explanation without sounding nonsensical.

par Novak D

Mar 31, 2020

I wish it went a bit more in-depth. I also wish there were more examples to practice. Overall, however, it was a good course, I have learned a lot.

par Neeraj G

Feb 10, 2020

The course was very basic for me when I compared the material with the book of Discrete Mathematics

par Ambarish B

Aug 24, 2019

The lectures aren't good and the assignments are not well explained as to what we need to do.

par Hearan

Sep 17, 2019

The quiz were all very interesting, but sometimes it was hard to understand the lecturers...

par Trần C L

Oct 19, 2019

Good course with many interesting quizzes although it is lacking of clear explanation

par DELA C J K (

Mar 25, 2020

HARD

par Luis M V F

Jan 10, 2020

This course lacks of mathematical foundations.

par Ryan B

Jan 16, 2020

I'm trying to be as fair as I possibly can here. This is, I think, the 8th or 9th MOOC I've completed, and I've self-studied math and CS in a huge variety of contexts, so I have some points of comparison. This is, to my knowledge, the only Discrete Math course on Coursera or EdX, so it's important that it gets an honest review.

The Good:

The puzzles and exercises were kind of fun and well-implemented, even if it wasn't always clear why we were doing them.

Playing around with the problems a little before listening to a lecture was a great idea, and it helped prime me for the solutions and methodologies.

The coding exercises were very simple, which is appropriate for a beginner's course like this one.

The Bad:

These professors are lazy, sloppy, and visibly uninterested. They don't care about what they're talking about, they seem disengaged, simply reading from slides. You may not think this will get in the way too much of your learning, but it does. They don't communicate clearly, in a way that a good teacher communicates--emphasizing certain points, anticipating misunderstandings, clarifying, tying things together. They just read off a script, and they lose you along the way. Even if you manage to stay focused on their words, they usually do a poor job of helping you understand why you're learning what you're learning, or of reminding you of the overall goal when you're down in the weeds. So this is a course where you will need to rely on outside materials if you want to grasp the concepts--thankfully there are people on youtube who care and understand how to teach other people (those people are often not professors).

The scripts these professors read off of are riddled with errors. Rather than re-record, they just paste dozens of error screens apologizing. But the error screens sometimes don't come until after you've spent five minutes trying to figure out what in the world just happened. Sloppy, and to me inexcusable. Re-shoot the video, polish it and take some pride in your work.

One of the quizzes (the one on Induction) was difficult to understand, contained material that was not explained at all in the preceding videos, and the explanations in the feedback did nothing to illuminate what was going on. Again, the frustration has to do with the fact that the professor in charge of that section could not be troubled to think for a minute about how this would look to the student. And this was the professor that also happened to be the most uninterested in his lectures as well, so no surprise.

In short, I hope someone out there makes a Discrete Math MOOC. If that person takes any pride in their work, if they know anything about communication, it won't be difficult to quickly surpass this one as the better option.

par Yiqing L

Feb 26, 2020

quiz is too hard!!